Initial Reliability and Validity of the Ohio State University TBI Identification Method

Corrigan, John; Bogner, Jennifer

doi:10.1097/01.htr.0000300227.67748.77

Cited by 620 publications

(461 citation statements)

References 28 publications

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“…Note that, given the number of years postinjury time, it was not feasible to obtain participants’ clinical information on initial injury characteristics such as Glasgow coma scale (GCS; Teasdale & Jennett, 1974) from the inpatient, acute‐care facilities where they were hospitalized several years ago. Therefore, initial injury severity was retrospectively estimated utilizing the Ohio State University TBI identification (OSU TBI‐ID) method (Corrigan & Bogner, 2007). The OSU TBI‐ID method has good interrater reliability and test–retest reliability (Bogner & Corrigan, 2009; Corrigan & Bogner, 2007).…”

Section: Methodsmentioning

confidence: 99%

“…Therefore, initial injury severity was retrospectively estimated utilizing the Ohio State University TBI identification (OSU TBI‐ID) method (Corrigan & Bogner, 2007). The OSU TBI‐ID method has good interrater reliability and test–retest reliability (Bogner & Corrigan, 2009; Corrigan & Bogner, 2007). Furthermore, the OSU TBI‐ID method estimates initial injury severity based on participants’ recollections of the incidents including the estimated duration of loss of consciousness (LOC), and the CDC guidelines for the conceptual definition and identification of TBI (National Center for Injury Prevention and Control, 2003; Thurman, Sniezek, Johnson, Greenspan, & Smith, 1995).…”

Section: Methodsmentioning

confidence: 99%

“…SMART, Strategic Memory Advanced Reasoning Training; BHW, Brain Health Workshop; IQ, Intelligent Quotient.aMean and standard deviation values were reported.bBased on the OSU TBI screening form Corrigan & Bogner (2007). …”

Section: Methodsmentioning

confidence: 99%

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Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

et al. 2017

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IntroductionPrior studies have demonstrated training‐induced changes in the healthy adult brain. Yet, it remains unclear how the injured brain responds to cognitive training months‐to‐years after injury.MethodsSixty individuals with chronic traumatic brain injury (TBI) were randomized into either strategy‐based (N = 31) or knowledge‐based (N = 29) training for 8 weeks. We measured cortical thickness and resting‐state functional connectivity (rsFC) before training, immediately posttraining, and 3 months posttraining.ResultsRelative to the knowledge‐based training group, the cortical thickness of the strategy‐based training group showed diverse temporal patterns of changes over multiple brain regions (p vertex < .05, p cluster < .05): (1) increases followed by decreases, (2) monotonic increases, and (3) monotonic decreases. However, network‐based statistics (NBS) analysis of rsFC among these regions revealed that the strategy‐based training group induced only monotonic increases in connectivity, relative to the knowledge‐based training group (|Z| > 1.96, pNBS < 0.05). Complementing the rsFC results, the strategy‐based training group yielded monotonic improvement in scores for the trail‐making test (p < .05). Analyses of brain–behavior relationships revealed that improvement in trail‐making scores were associated with training‐induced changes in cortical thickness (p vertex < .05, p cluster < .05) and rsFC (p vertex < .05, p cluster < .005) within the strategy‐based training group.ConclusionsThese findings suggest that training‐induced brain plasticity continues through chronic phases of TBI and that brain connectivity and cortical thickness may serve as markers of plasticity.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

et al. 2017

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“…The Ohio State University Traumatic Brain Injury Identification (OSU-TBI-ID) instrument was designed for clinical purposes to capture the prevalence and severity of TBI and has been utilized in numerous studies and across a variety of populations including military personnel, veterans, and prisoners (Bogner & Corrigan, 2009;Corrigan & Bogner, 2007a, 2007bCorrigan, Bogner, & Holloman, 2012;Ferguson, et al, 2012). However, while extant research suggests that the OSU-TBI-ID accurately captures the presence of TBI, it has not been used to determine whether having TBI is associated with subsequent involvement in the criminal justice system.…”

Section: Traumatic Brain Injury and Recidivism Among Returning Inmatesmentioning

confidence: 99%

Traumatic Brain Injury and Recidivism Among Returning Inmates

Ray

Richardson

2017

Criminal Justice and Behavior

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In recent years, there has been a surge in research that examines the relationship between traumatic brain injury (TBI) and involvement in the criminal justice system. However, the bulk of this research has been largely retrospective and descriptive, comparing rates of TBI in the offending population with the rates of TBI in the general population. Although findings from these studies indicate a higher prevalence of TBI in the offending population, virtually no studies have examined whether those with TBI are more likely to recidivate. To address this gap, the present study examined rearrest post release from prison among a cohort sample of Indiana inmates who were screened using the Ohio State University Traumatic Brain Injury Identification (OSU-TBI-ID) instrument. Findings indicate that, net of control variables, those with TBI were more likely to recidivate sooner than those without TBI. Policy implications and directions for future research are discussed.

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“…For documenting lifetime history of TBI, we recommend use of the Ohio State University TBI Identification Method Short Form (Corrigan et al, 2007).…”

Section: Participant and Family Historymentioning

confidence: 99%

Standardizing Data Collection in Traumatic Brain Injury

Maas

Harrison-Felix

Menon

et al. 2011

Journal of Neurotrauma

144

137

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Collaboration among investigators, centers, countries, and disciplines is essential to advancing the care for traumatic brain injury (TBI). It is thus important that we ''speak the same language.'' Great variability, however, exists in data collection and coding of variables in TBI studies, confounding comparisons between and analysis across different studies. Randomized controlled trials can never address the many uncertainties concerning treatment approaches in TBI. Pooling data from different clinical studies and high-quality observational studies combined with comparative effectiveness research may provide excellent alternatives in a cost-efficient way. Standardization of data collection and coding is essential to this end. Common data elements (CDEs) are presented for demographics and clinical variables applicable across the broad spectrum of TBI. Most recommendations represent a consensus derived from clinical practice. Some recommendations concern novel approaches, for example assessment of the intensity of therapy in severely injured patients. Up to three levels of detail for coding data elements were developed: basic, intermediate, and advanced, with the greatest level of detail attained in the advanced version. More detailed codings can be collapsed into the basic version. Templates were produced to summarize coding formats, explanation of choices, and recommendations for procedures. Endorsement of the recommendations has been obtained from many authoritative organizations. The development of CDEs for TBI should be viewed as a continuing process; as more experience is gained, refinement and amendments will be required. This proposed process of standardization will facilitate comparative effectiveness research and encourage high-quality meta-analysis of individual patient data.

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Initial Reliability and Validity of the Ohio State University TBI Identification Method

Abstract: These results provide preliminary support for the reliability and validity of summary indices of lifetime history of TBI elicited via a structured interview.

Cited by 620 publications

References 28 publications

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

Strategy‐based reasoning training modulates cortical thickness and resting‐state functional connectivity in adults with chronic traumatic brain injury

Traumatic Brain Injury and Recidivism Among Returning Inmates

Standardizing Data Collection in Traumatic Brain Injury

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